CN104798103A - Facial recognition device, recognition method and program therefor, and information device - Google Patents
Facial recognition device, recognition method and program therefor, and information device Download PDFInfo
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- CN104798103A CN104798103A CN201380062218.3A CN201380062218A CN104798103A CN 104798103 A CN104798103 A CN 104798103A CN 201380062218 A CN201380062218 A CN 201380062218A CN 104798103 A CN104798103 A CN 104798103A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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Abstract
Provided is a facial recognition device that contributes to the reduction of recognition errors due to a lighting environment. The facial recognition device is provided with: an imaging parameter input unit that inputs imaging parameters; a lighting information estimation unit that estimates lighting information on the basis of the imaging parameters; and a recognition accuracy control unit that controls recognition accuracy parameters on the basis of the lighting information.
Description
Technical field
[quoting related application]
The present invention is based on the rights and interests of the right of priority of the Japanese patent application No.2012-260049 that on November 28th, 2012 submits to and advocate the rights and interests of the right of priority of this application, by the open of this application being integrally incorporated in herein to quoting of this application.
The present invention relates to face recognition device, recognition methods and program thereof and information equipment.
Background technology
In recent years, the identification utilizing the such as biological information of face, fingerprint, iris is used.Especially, because face recognition can identify non-contactly, and, very little burden is caused to user, thus expects the utilization expanding face recognition.
In patent documentation 1, disclosing by using after single high-resolution camera and multiple low-resolution camera take face-image, selecting the technology being best suited for the face-image of face recognition.Especially, be disclosed in the technology in patent documentation 1, detect facial zone from the high-resolution input picture taken by high-resolution camera, the pixel value based on detected facial zone distributes, and controls the brightness of multiple low-resolution camera.
Prior art
patent documentation
[patent documentation 1]
Japanese Patent Publication announces No.2009-134593A.
Summary of the invention
technical matters
The open of patent documentation is above incorporated in herein by reference.Following analysis is provided by the present invention.
When performing face recognition, first, expect from input picture correctly extract minutiae (eyes, nose etc.).And, when performing face recognition, expect to extract the facial zone similar with the face-image be registered in database.
At this, depend on lighting environment, the accuracy of detection of unique point is different with accuracy of identification.Such as, when when unglazed indoor shot face-image, clearly do not take face-image, this may cause the flase drop to unique point.Further, when when there being the outdoor shooting face-image of sunlight, the reflection of sunlight may cause the flase drop to unique point.
Being disclosed in the technology in patent documentation 1, reckoning without, causing due to lighting environment the accuracy of detection of unique point and accuracy of identification to decline.
The object of this invention is to provide contribute to reducing cause due to lighting environment the face recognition device of mistake identification, recognition methods and program thereof and information equipment.
for the solution of problem
According to the 1st aspect, provide a kind of face recognition device, this device comprises: the photographic parameter input block receiving photographic parameter; The illumination information estimation unit of illumination information is estimated based on photographic parameter; And the accuracy of identification control module of accuracy of identification parameter is controlled based on illumination information.
According to the 2nd aspect, provide a kind of recognition methods, the method comprises: receive photographic parameter; Illumination information is estimated based on photographic parameter; And control accuracy of identification parameter based on illumination information.
According to the 3rd aspect, provide a kind of program, this program is used in the computer run controlling face recognition device: receive photographic parameter; Illumination information is estimated based on photographic parameter; And control accuracy of identification parameter based on illumination information.
This program can be recorded in computer-readable non-transitory storage medium.That is, the present invention can be presented as computer program.
According to the 4th aspect, provide a kind of information equipment comprising face recognition device, wherein, face recognition device comprises: the photographic parameter input block receiving photographic parameter; The illumination information estimation unit of illumination information is estimated based on photographic parameter; And the accuracy of identification control module of accuracy of identification parameter is controlled based on illumination information.
the advantageous effects of invention
According to each aspect of the present invention, provide help to reduce cause due to lighting environment the face recognition device of mistake identification, recognition methods and program thereof and information equipment.
Accompanying drawing explanation
Fig. 1 is the figure for illustration of one exemplary embodiment;
Fig. 2 is the block diagram of the example of the inside configuration of face recognition device 1 involved by one exemplary embodiment 1;
Fig. 3 is the block diagram of the example of the inside configuration of camera 20 involved by one exemplary embodiment 1;
Fig. 4 is the figure of the example of the table of the relation represented between illumination and FAR;
Fig. 5 is the figure of the example of the function of the relation represented between illumination and FAR;
Fig. 6 is the process flow diagram of the example of the process controlling accuracy of identification;
Fig. 7 is the planimetric map image of the example of the configured in one piece of the information equipment 2 illustrated involved by one exemplary embodiment 2;
Fig. 8 is the block diagram of the example of the inside configuration of information equipment 2 involved by this one exemplary embodiment.
Embodiment
First, the summary of one exemplary embodiment of the present invention is described with reference to accompanying drawing.In following summary, for convenience's sake, various component is represented by reference character.That is, following reference character is only used as the example promoting the understanding of the present invention, the present invention is not limited to graphic mode.
As mentioned above, when performing face recognition, existence is depended on lighting environment and causes the situation of the precise decreasing of face recognition.Therefore, depend on lighting environment, expect to have and help reduce the face recognition device by mistake identified.
Exemplarily, the face recognition device 100 shown in Fig. 1 is provided.Face recognition device 100 comprise receive photography (imaging) parameter photographic parameter input block 101, estimate the illumination information estimation unit 102 of illumination information based on photographic parameter and control the accuracy of identification control module 103 of accuracy of identification parameter based on illumination information.
Face recognition device 100 receives photographic parameter (step S1001).Photography (imaging) parameter means the parameter being set as (imaging) condition of photographing when photography (imaging) device (camera) photographic subjects image.Especially, preferably, photographic parameter comprises the parameter relevant with brightness of gain, time shutter, stop value, target etc.And face recognition device 100 estimates illumination information (step S1002) based on photographic parameter.Illumination information means the information of the brightness (lighting environment) of indicating target periphery.And face recognition device 100 controls accuracy of identification parameter (step S1003) based on illumination information.Therefore, face recognition device makes to depend on illumination information and the accuracy of identification reduced minimum that causes when performing face recognition.Therefore, face recognition device 100 contributes to reducing and depends on illumination information and the mistake identification caused.
Below, with reference to accompanying drawing, concrete one exemplary embodiment is described in more detail.
[one exemplary embodiment 1]
With reference to accompanying drawing, one exemplary embodiment 1 is described in more detail.
Fig. 2 is the block diagram of the example of the inside configuration of the face recognition device 1 of this one exemplary embodiment.Face recognition device comprises image acquiring unit 11, face recognition unit 12, photographic parameter input block 13, illumination information estimation unit 14, accuracy of identification control module 15, accuracy of identification management database 16 and face image data storehouse 17.And face recognition device 1 is connected with camera 20.For simplicity, Fig. 2 only illustrates the module relevant with the face recognition device 1 involved by this one exemplary embodiment.
First, face recognition device will be described in detail.
Camera 20 photographic subjects image.Particularly, camera 20 based on predetermined photographic parameter photographic subjects image.
Fig. 3 is the block diagram of the example of the inside configuration of camera 20.Camera 20 comprises phtographic lens 21, imaging sensor 22, photographic parameter record cell 23 and photography control module 24.For simplicity, Fig. 3 only illustrates the module relevant with the camera 20 involved by this one exemplary embodiment.
Phtographic lens 21 is configured with the multiple optical systems comprising zoom lens and amasthenic lens.For simplicity, phtographic lens 21 illustrates as single camera lens by Fig. 3.
Such as, imaging sensor 22 is configured with CCD(Charge Coupled Device, charge-coupled image sensor), CMOS(Complementary Metal Oxide Semiconductor, complementary metal oxide semiconductor (CMOS)) etc.The light signal collected by phtographic lens 21 imaging on the surface of the reception light of imaging sensor 22.And imaging sensor 22 converts received light signal to electric signal (simulating signal).
Photographic parameter record cell 23 chronophotography parameter.Particularly, photographic parameter record cell 23 chronophotography parameter, the brightness etc. of such as gain, time shutter, stop value, target.
Photography control module 24 controls entirety and each module shown in Fig. 3 of camera 20.Particularly, control module 24 of photographing controls photograph processing based on photographic parameter.And photography control module 24 can embody to the computer program running the process of camera 20 by making the computed hardware of computing machine be installed on camera 20.
Then, face recognition device 1 will be described in detail.
The face-image of one or more individual is recorded in face image data storehouse 17.And face image data storehouse 17 can for each one with multiple face angle record face-image.Notice, in the following description, the image be registered in face image data storehouse 17 is called as template image.And face image data storehouse 17 can in advance from template image extract minutiae and record.
Image acquiring unit 11 takes the image taken by camera 20.Notice, in the following description, the image taken by camera 20 is called as recognition target image.Preferably, recognition target image comprises facial zone.
Recognition target image contrasts with template image and identifies by face recognition unit 12.Particularly, face recognition unit 12 is from recognition target image and template image extract minutiae.Such as, preferably, the end points of eyes, face, nose etc. extracts as unique point by face recognition unit 12.And, there is the method for various unique point and face for identifying face, the method for any unique point and face for identifying face can being used.
Photographic parameter input block 13 receives photographic parameter.Particularly, photographic parameter input block 13, with reference to photographic parameter record cell 23, obtains photographic parameter.That is, photographic parameter input block 13 obtains the photographic parameter used when camera 20 photographs face-image, such as gain, time shutter, stop value etc.
Illumination information estimation unit 14 estimates illumination information based on photographic parameter.Such as, illumination information estimation unit 14 can estimate illumination (unit: lx lux) based on photographic parameter.
Such as, illumination information estimation unit 14 can estimate illumination based on following equation (1).And this is not intended to the method for estimation of illumination to be limited to equation (1).
[equation 1]
E: illumination
F: stop value
M: magnification
T: time shutter
ISO: sensitivity
γ: constant
And γ is different according to imaging sensor.Such as, γ can change in 200 to 235.
Accuracy of identification control module 15 controls accuracy of identification parameter based on illumination information.That is, accuracy of identification control module 15 controls accuracy of identification based on the relation between illumination information and accuracy of identification parameter.At this, accuracy of identification controling parameters means the parameter affecting accuracy of identification.In the following description, notice, the ratio of the people of acceptance error is by mistake called as FAR(False Acceptance Rate, false acceptance rate).And notice, the ratio refusing correct people is called as FRR(False Rejection Rate, false rejection rate).Preferably, along with accuracy of identification improves, FAR and FRR declines.
Below, the example of accuracy of identification controling parameters is shown.But the following description is not intended to accuracy of identification controling parameters to be limited to following example.
Such as, accuracy of identification controling parameters can be the feature being used for face recognition counted.That is, accuracy of identification control module 15 can control the feature being used for face recognition to count based on illumination information.At this, accuracy of identification may along with feature count increase and improve.Therefore, accuracy of identification control module 15 can be counted by change feature and be controlled accuracy of identification.
And accuracy of identification controling parameters can be the weight of unique point.That is, accuracy of identification control module 15 can based on illumination information the weight of controlling feature point.In this case, preferably, accuracy of identification control module 15 changes the weight of unique point based on the similar degree between the unique point of template image and the unique point of recognition target image.The unique point low along with similar degree increases, and the possibility by mistake identified improves.Therefore, accuracy of identification control module 15 can control accuracy of identification by the weight changing unique point.
And accuracy of identification controling parameters can be the threshold value of evaluation of estimate.That is, when whether facial recognition unit 12 exceedes predetermined threshold value according to evaluation of estimate and determination result time, accuracy of identification control module 15 can control the threshold value of evaluation of estimate based on illumination information.Preferably, evaluation of estimate is similar degree based on each unique point and the value calculated.In this case, along with the threshold value of evaluation of estimate increases, the possibility by mistake identified declines.Therefore, accuracy of identification control module 15 can control accuracy of identification by the threshold value changing evaluation of estimate.
Such as, about each unique point, face recognition unit 12 calculates the similar degree between recognition target image and template image.And the accumulated value of calculated similar degree can set as evaluation of estimate by face recognition unit 12.There are the computing method of various evaluation of estimate, and the computing method of any evaluation of estimate can be used.
And for everyone, face image data storehouse 17 can with the his/her face-image of multiple face angle records.In this case, accuracy of identification control module 15 can the pattern numbers of face angle of Control architecture image.By changing the face angle of template image, make sometimes to become clear with other people difference.Therefore, accuracy of identification control module 15 can control accuracy of identification by the pattern numbers of the face angle changing template image.
Illumination information and accuracy of identification parameter association store by accuracy of identification management database 16.Such as, the illumination in predetermined scope and predetermined accuracy of identification parameter association can store by accuracy of identification management database 16.That is, accuracy of identification management database 16 can record the table that illumination information is associated with accuracy of identification (comprising FAR, FRR etc.).Or accuracy of identification management database 16 can record the function making illumination information be associated with accuracy of identification.
Accuracy of identification management database 16 can record the relation between illumination information and accuracy of identification controling parameters.Such as, accuracy of identification management database 16 can record illumination information and feature count between relation.Accuracy of identification management database 16 can record the relation between illumination information and the weight of unique point.Accuracy of identification management database 16 can record the relation between illumination information and the threshold value of evaluation of estimate.Accuracy of identification management database 16 can record the relation between illumination information and FAR.And in this case, preferably, accuracy of identification management database 16 records that the feature be associated with FAR is counted, the threshold value etc. of evaluation of estimate.
Fig. 4 is the figure of the example of the table of the relation illustrated between illumination and FAR.Such as, when when unglazed indoor identification face, face recognition unit 12 may be difficult to extract minutiae.That is, when when unglazed indoor identification face, face recognition unit 12 correctly may not identify face.
Therefore, when when unglazed indoor identification face, preferably, accuracy of identification is set as than when lower when there being the indoor identification of light facial by accuracy of identification control module 15.Particularly, preferably, accuracy of identification control module 15 controls accuracy of identification controling parameters, so that when when unglazed indoor identification face, FAR is higher.That is, preferably, accuracy of identification control module 15 controls accuracy of identification controling parameters, so that when when unglazed indoor identification face, and accuracy of identification lower (FAR is higher).
On the other hand, when identifying face under the outdoor environment at the cloudy day, likely face recognition unit 12 can easily extract minutiae.But when identifying face under the outdoor environment at the cloudy day, likely face recognition unit 12 misses the people of identification error.That is, tend to by inference, when identifying face under the outdoor environment at the cloudy day, FAR is higher.
Therefore, as shown in Figure 4, when identifying face under the outdoor environment at cloudy day, preferably, accuracy of identification control module 15 makes FAR ratio when lower when there being the outdoor identification face of backlight and frontlighting.Particularly, when identifying face under the outdoor environment at cloudy day, preferably, accuracy of identification control module 15 controls accuracy of identification controling parameters, so that FAR is lower.
Fig. 5 is the figure of the example of the function of the relation represented between illumination and FAR.As shown in Figure 5, accuracy of identification management database 16 can record the relation between illumination and FAR, so that FAR changes continuously according to illumination.
Then, by the operation of the face recognition device 1 involved by this one exemplary embodiment of description.
Fig. 6 is the process flow diagram of the example of the process controlling accuracy of identification.
In step sl, photographic parameter input block 13 receives photographic parameter.Particularly, preferably, photographic parameter input block 13 obtains photographic parameter from camera 20.
In step s 2, illumination information estimation unit 14 estimates illumination information based on photographic parameter.
In step s3, accuracy of identification control module 15 determines accuracy of identification based on illumination information.Particularly, accuracy of identification control module 15 with reference to accuracy of identification management database 16, and, determine accuracy of identification parameter based on illumination information.
In step s 4 which, image acquiring unit 11 obtains recognition target image from camera 20.And face recognition unit 12 determines whether facial zone is included in recognition target image.Such as, face recognition unit 12 detects the unique point (such as, the end points etc. of eyes) of eyes from recognition target image.And when the unique point of eyes being detected, face recognition unit 12 can determine that facial zone is included in recognition target image.
When facial zone is included in recognition target image (Yes in step S5), face recognition unit 12 extracts facial zone (step S6) from recognition target image.Such as, face recognition unit 12 can extract facial zone based on the position of eyes.On the other hand, when facial zone is not included in recognition target image (No in step S5), the process controlling accuracy of identification will terminate.
In the step s 7, face recognition unit 12 identifies face based on accuracy of identification.Particularly, face recognition unit 12 sets accuracy of identification parameter based on accuracy of identification.And face recognition unit 12 can use set accuracy of identification parameter to identify face.
And accuracy of identification control module 15 can control accuracy of identification parameter based on photographic parameter.That is, accuracy of identification control module 15 can control accuracy of identification based on the relation between photographic parameter and accuracy of identification parameter.And accuracy of identification management database 16 can relation between chronophotography parameter and accuracy of identification controling parameters.
Such as, accuracy of identification control module 15 can the feature controlled based on photographic parameter for identifying be counted.Or, accuracy of identification control module 15 can based on photographic parameter the weight of controlling feature point.Or accuracy of identification control module 15 can the pattern numbers of face angle of Control architecture image.
[variation 1]
Variation 1 exemplarily involved by property embodiment 1, the device (following, this device be called as server unit) different from face recognition device can comprise face recognition unit 12 and face image data storehouse 17.Because in face recognition unit 12, the workload of identifying processing depends on template image number and changes.Therefore, the server unit with the performance higher than face recognition device 1 can comprise face recognition unit 12 and face image data storehouse 17.And in this case, face recognition device 1 and server unit can control via network.
[variation 2]
Variation 2 exemplarily involved by property embodiment 1, camera 20 can comprise illuminance transducer.In this case, photographic parameter input block receives the output valve of illuminance transducer, using as photographic parameter.And illuminance information estimation unit 14 can estimate illuminance information based on the output valve of illuminance transducer.
By mistake 1st effect of the face recognition device involved by this one exemplary embodiment reduces to identify.Such as, when identifying face under the environment in such as unglazed indoor etc., may identify by mistake.But the face recognition device 1 involved by this one exemplary embodiment controls accuracy of identification based on illuminance information, identify so that reduce by mistake.Therefore, the face recognition device 1 involved by this one exemplary embodiment contributes to depending on illumination information and reduces identification by mistake.
2nd effect of the face recognition device 1 involved by this one exemplary embodiment reduces the burden that user identifies face.Being disclosed in the technology in patent documentation 1, when failing to identify face, be necessary again to take image.But the face recognition device 1 involved by this one exemplary embodiment controls accuracy of identification, to reduce the possibility identified by mistake.Therefore, the face recognition device 1 involved by this one exemplary embodiment is without the need to repeatedly taking face-image.Therefore, the face recognition device 1 involved by this one exemplary embodiment contributes to the burden reducing user.
[one exemplary embodiment 2]
Below, with reference to accompanying drawing, one exemplary embodiment 2 is described in more detail.
This one exemplary embodiment is the embodiment that information equipment comprises face recognition device.Notice, in the description of this one exemplary embodiment, will the description repeated with above-mentioned one exemplary embodiment be omitted.And, in the description of this one exemplary embodiment, the symbol identical to the component labelling identical with the element in above-mentioned one exemplary embodiment, and, will the explanation to these elements be omitted.
Fig. 7 is the planimetric map image of the example of the configured in one piece of the information equipment 2 illustrated involved by this one exemplary embodiment.Information equipment 2 comprises camera 20, display device 30 and operating unit 40.Notice, Fig. 7 is not intended to the information equipment 2 involved by this one exemplary embodiment to be limited to the embodiment shown in Fig. 7.Such as, information equipment 2 can be such as smart mobile phone, mobile phone, game station, dull and stereotyped PC(Personal Computer, personal computer), notebook PC, PDA(Personal Data Assistants, personal digital assistant), the information equipment of digital camera etc.
Camera 20 can take the face-image of the user towards display unit 30.Camera 20 can have the feature of the built-in camera as information equipment 2.
User carrys out the information (character, picture etc.) visually shown by identifying information equipment 2 by display unit.As display unit 30, liquid crystal panel, electroluminescence panel etc. can be used.
Operating unit 40 accepts the operation of user to information equipment 2.Although Fig. 7 illustrates the key of hardware, using as operating unit 40, the functional unit of such as touch panel etc. can be adopted.
Fig. 8 is the block diagram of the example of the inside configuration of information equipment 2 involved by this one exemplary embodiment.Information equipment 2 comprises image acquiring unit 11, face recognition unit 12, photographic parameter input block 13, illumination information estimation unit 14, accuracy of identification control module 15, accuracy of identification management database 16, face image data storehouse 17, camera 20, display unit 30, operating unit 40 and information equipment control module 50.That is, information equipment 2 comprises face recognition device 1.Notice, for simplicity, Fig. 8 only illustrates the module relevant with the information equipment 2 involved by this one exemplary embodiment.
The entirety of information equipment control module 50 control information equipment 2 and the module shown in Fig. 7.Information equipment control module 50 can be embodied by the computer program making the computed hardware of computing machine be installed on information equipment 2 carry out the process of operation information equipment 2.
Such as, the recognition result of face recognition unit 12 can be shown on display unit 30 by information equipment control module 50.And based on the operation to operating unit 40, information equipment control module 50 can determine whether face recognition unit 12 starts face recognition.Alternatively, based on the recognition result of face recognition unit 12, information equipment control module 50 can determine whether user is accepted to the operation of operating unit 40.
As mentioned above, the information equipment 2 involved by this one exemplary embodiment comprises the function of face recognition device 1.And, the information equipment involved by this one exemplary embodiment based on face recognition result and control will run process.That is, the information equipment involved by this one exemplary embodiment comprises the high function of security.Therefore, the information equipment 2 involved by this one exemplary embodiment contributes to minimizing and identifies and the function providing security high by mistake.
[one exemplary embodiment 3]
Below, one exemplary embodiment 3 will be described in more detail.
This one exemplary embodiment runs the embodiment with the information equipment of the application of face recognition function.Notice, in the description of this one exemplary embodiment, will the description repeated with above-mentioned one exemplary embodiment be omitted.And, in the description of this one exemplary embodiment, the symbol identical to the component labelling identical with the element in above-mentioned one exemplary embodiment, and, will the explanation to these elements be omitted.
Information equipment 2 involved by this one exemplary embodiment controls application.And information equipment control module 50 controls the application with face recognition function based on face recognition result.
Such as, the application with face recognition function may operate in the application resetting screen locking when identifying face.At this, screen locking means the operation of user to operating unit 40 and fails received state.And, there is the various application with face recognition function, and any application with face recognition function can be used.
[variation 1]
As the variation 1 of the information equipment 2 involved by this one exemplary embodiment, accuracy of identification can change according to application.Such as, assuming that information equipment 2 installs alarm clock application and electronic money management application, using as the application with face recognition function.In this case, the accuracy of identification of electronic money management application can be set as higher than the accuracy of identification of alarm clock application by accuracy of identification control module 15.
As mentioned above, the information equipment 2 involved by this one exemplary embodiment installs the application with face recognition function.And when identifying face, the information equipment 2 involved by this one exemplary embodiment allows user to use this application.Therefore, the information equipment 2 involved by this one exemplary embodiment contributes to the function providing security high further.
Part or all of one exemplary embodiment above can be described as following mode, but be not limited to following mode.
(mode 1)
As the face recognition device involved by the 1st aspect.
(mode 2)
According to the face recognition device of mode 1, wherein, accuracy of identification control module controls the threshold value for determining recognition result based on illumination information.
(mode 3)
According to the face recognition device of mode 1 or 2, wherein, accuracy of identification control module controls the unique point that will contrast based on illumination information.
(mode 4)
According to the face recognition device of mode 3, wherein, the weight of accuracy of identification control module controlling feature point based on illumination information.
(mode 5)
According to the face recognition device of any one of mode 1 to 4, comprise the accuracy of identification management database that stores of illumination information and accuracy of identification parameter association ground.
(mode 6)
According to the face recognition device of any one of mode 1 to 5, wherein, accuracy of identification control module replaces illumination information and controls accuracy of identification parameter based on photographic parameter.
(mode 7)
Information equipment comprises the face recognition device of any one according to mode 1 to 6.
(mode 8)
According to the information equipment of mode 7, wherein, information equipment runs the application with face recognition function.
(mode 9)
As the recognition methods involved by the 2nd aspect.
(mode 10)
According to the recognition methods of mode 9, control the threshold value for determining recognition result based on illumination information.
(mode 11)
According to the recognition methods of mode 9 or 10, control the unique point that will contrast based on illumination information.
(mode 12)
According to the recognition methods of mode 11, the weight of controlling feature point based on illumination information.
(mode 13)
According to the recognition methods of any one of mode 9 to 12, replace illumination information and control accuracy of identification parameter based on photographic parameter.
(mode 14)
As the program involved by the 3rd aspect.
(mode 15)
According to the program of mode 14, control the threshold value for determining recognition result based on illumination information.
(mode 16)
According to the program of mode 14 or 15, control the unique point that will contrast based on illumination information.
(mode 17)
According to the program of mode 16, the weight of controlling feature point based on illumination information.
(mode 18)
According to the program of any one of mode 14 to 17, replace illumination information and control accuracy of identification parameter based on photographic parameter.
The open of patent documentation is above incorporated in herein by reference.In the scope of open (comprising claim) all of the present invention, and, based on basic technological concept of the present invention, may revise and adjust one exemplary embodiment and example.In the scope of claim of the present invention, various disclosed element (comprising each element in each claim, one exemplary embodiment, example, accompanying drawing etc.) may be combined variedly and selects.That is, the present invention certainly comprises and can make various changes and modifications by those skilled in the art according to the whole open and technological concept comprising claim.
list of numerals
1,100 face recognition devices
2 information equipments
11 image acquiring unit
12 face recognition unit
13,101 photographic parameter input blocks
14,102 illumination information estimation units
15,103 accuracy of identification control modules
16 accuracy of identification management databases
17 face image data storehouses
20 cameras
21 phtographic lenses
22 imaging sensors
23 photographic parameter record cells
24 photography control modules
30 display units
40 operating units
50 information equipment control modules.
Claims (10)
1. a face recognition device, comprising:
Receive the photographic parameter input block of photographic parameter;
The illumination information estimation unit of illumination information is estimated based on described photographic parameter; And
The accuracy of identification control module of accuracy of identification parameter is controlled based on described illumination information.
2. face recognition device as claimed in claim 1, wherein, the threshold value that described accuracy of identification control module controls for determining recognition result based on described illumination information.
3. face recognition device as claimed in claim 1 or 2, wherein, described accuracy of identification control module controls the unique point that will contrast based on described illumination information.
4. face recognition device as claimed in claim 3, wherein, described accuracy of identification control module controls the weight of described unique point based on described illumination information.
5. the face recognition device as described in any one of Claims 1-4, comprises the accuracy of identification management database that stores of described illumination information and described accuracy of identification parameter association ground.
6. the face recognition device as described in any one of claim 1 to 5, wherein, described accuracy of identification control module replaces described illumination information and controls described accuracy of identification parameter based on described photographic parameter.
7. an information equipment, comprises the face recognition device as described in any one of claim 1 to 6.
8. information equipment as claimed in claim 7, wherein, described information equipment runs the application with face recognition function.
9. a recognition methods, comprising:
Receive photographic parameter;
Illumination information is estimated based on described photographic parameter; And
Accuracy of identification parameter is controlled based on described illumination information.
10. a program, is used in the computer run controlling face recognition device:
Receive photographic parameter;
Illumination information is estimated based on described photographic parameter; And
Accuracy of identification parameter is controlled based on described illumination information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110902196.3A CN113780079A (en) | 2012-11-28 | 2013-11-27 | Face recognition device, face recognition method, program for the same, and information apparatus |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2012260049A JP5652886B2 (en) | 2012-11-28 | 2012-11-28 | Face authentication device, authentication method and program, information device |
| JP2012-260049 | 2012-11-28 | ||
| PCT/JP2013/081885 WO2014084249A1 (en) | 2012-11-28 | 2013-11-27 | Facial recognition device, recognition method and program therefor, and information device |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110902196.3A Division CN113780079A (en) | 2012-11-28 | 2013-11-27 | Face recognition device, face recognition method, program for the same, and information apparatus |
Publications (2)
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| JP5652886B2 (en) * | 2012-11-28 | 2015-01-14 | Ｎｅｃカシオモバイルコミュニケーションズ株式会社 | Face authentication device, authentication method and program, information device |
| JP6410450B2 (en) * | 2014-03-31 | 2018-10-24 | キヤノン株式会社 | Object identification device, object identification method, and program |
| JP2017526078A (en) * | 2014-05-09 | 2017-09-07 | グーグル インコーポレイテッド | System and method for biomechanics-based ocular signals for interacting with real and virtual objects |
| CN108369451B (en) * | 2015-12-18 | 2021-10-29 | 索尼公司 | Information processing apparatus, information processing method, and computer-readable storage medium |
| US9986151B1 (en) | 2016-03-02 | 2018-05-29 | Amazon Technologies, Inc. | Systems and methods for determining a depth or reflectance of objects |
| US9912861B1 (en) | 2016-03-02 | 2018-03-06 | Amazon Technologies, Inc. | Systems and methods for determining a depth or reflectance of objects |
| AU2019208182B2 (en) | 2018-07-25 | 2021-04-08 | Konami Gaming, Inc. | Casino management system with a patron facial recognition system and methods of operating same |
| US11521460B2 (en) | 2018-07-25 | 2022-12-06 | Konami Gaming, Inc. | Casino management system with a patron facial recognition system and methods of operating same |
| JP7257765B2 (en) * | 2018-09-27 | 2023-04-14 | キヤノン株式会社 | Information processing device, authentication system, control method thereof, and program |
| FR3089661B1 (en) * | 2018-12-06 | 2020-12-18 | Idemia Identity & Security France | Facial recognition process |
| CN112667984A (en) | 2020-12-31 | 2021-04-16 | 上海商汤临港智能科技有限公司 | Identity authentication method and device, electronic equipment and storage medium |
| JPWO2022185486A1 (en) * | 2021-03-04 | 2022-09-09 |
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| US20230206685A1 (en) | 2023-06-29 |
| US10614293B2 (en) | 2020-04-07 |
| US10303926B2 (en) | 2019-05-28 |
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| US10956715B2 (en) | 2021-03-23 |
| JP2014106794A (en) | 2014-06-09 |
| CN113780079A (en) | 2021-12-10 |
| EP2927866A4 (en) | 2016-10-19 |
| JP5652886B2 (en) | 2015-01-14 |
| CN104798103B (en) | 2021-08-03 |
| US20150339515A1 (en) | 2015-11-26 |
| US20190019013A1 (en) | 2019-01-17 |
| WO2014084249A1 (en) | 2014-06-05 |
| US20190065828A1 (en) | 2019-02-28 |
| US10083344B2 (en) | 2018-09-25 |
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